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Paper Citation Record · LEDGER

Towards Interpretable Protein Structure Prediction with Sparse Autoencoders

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2503.08764.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2503.08764 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T18:21:10.559896Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-07-03T13:38:19.495939Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 19db56ce-6fd8-4ca7-b759-83b1bb625055 · inbound

Mechanistic Interpretability of Antibody Language Models Using SAEs cites this paper.

Mechanistic Interpretability of Antibody Language Models Using SAEs Towards Interpretable Protein Structure Prediction with Sparse Autoencoders

Reference 2022

Resolution
unresolved
no resolver link, observed 2026-08-03T18:21:10.559896Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T18:21:10.559896Z digest=sha256:63a8340708de603f51b6ca13d47b5269f19feb320523239bdbad75162b4ccd4b

Observation 32046685-f453-452b-8ef6-38ca6f46b55f · inbound

Two Stages of Folding: Convergent Mechanisms in AI Protein Folding Trunks cites this paper.

Two Stages of Folding: Convergent Mechanisms in AI Protein Folding Trunks Towards Interpretable Protein Structure Prediction with Sparse Autoencoders

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-03T04:07:36.102722Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T04:07:36.102722Z digest=sha256:eec6a23a8c303f0405ddd2ae81533786aa927d3e29dce6282a9d19dbf77120a0

Observation 7207c38d-a75d-4855-b561-d0c005b49d05 · inbound

Induction Meets Biology: Mechanisms of Repeat Detection in Protein Language Models cites this paper.

Induction Meets Biology: Mechanisms of Repeat Detection in Protein Language Models Towards Interpretable Protein Structure Prediction with Sparse Autoencoders

Reference 2020

Resolution
malformed identifier
no resolver link, observed 2026-08-02T20:32:06.342850Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T20:32:06.342850Z digest=sha256:7e232b70fcfb0bd2c7c026447f39b6a0dc5c3ee9d98d189efbf35e647d6053e4

Observation 497fdc28-2676-49d5-9084-26e8d3aed914 · inbound

Retrieval and competition: how a protein foundation model starts a protein cites this paper.

Retrieval and competition: how a protein foundation model starts a protein Towards Interpretable Protein Structure Prediction with Sparse Autoencoders

Reference 10

Resolution
verified exact
arxiv_id, observed 2026-05-21T00:13:53.246226Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-21T00:09:22.402365Z digest=sha256:d017842f9bd2662ca012eeacb886f2645d0cfcf60f1a32d5b9efcac56d6ae258

Observation b78eb40d-84d1-4eb8-8401-b7fbe4d7dc76 · inbound

Retrieval and competition: how a protein foundation model starts a protein cites this paper.

Retrieval and competition: how a protein foundation model starts a protein Towards Interpretable Protein Structure Prediction with Sparse Autoencoders

Reference 10

Resolution
verified exact
arxiv_id, observed 2026-07-01T00:25:10.445742Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-30T23:58:11.169748Z digest=sha256:532f804593ae216e25d84dc72c6957f9652939762dc1690d1c96885354a72d83

Observation 1f99544c-1e06-487c-a7f6-69fe8c3e0ff1 · inbound

VFUSE: Virulent Feature Understanding with Sparse autoEncoders cites this paper.

VFUSE: Virulent Feature Understanding with Sparse autoEncoders Towards Interpretable Protein Structure Prediction with Sparse Autoencoders

Reference 26

Resolution
verified exact
arxiv_id, observed 2026-07-03T00:57:29.977616Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-06-27T16:57:52.441415Z digest=sha256:8cae80ed2c6b6f0f30c2d751175bd56a8be8bf11adaed4060b3e6d8b28dad686

Observation 7b13827f-f127-41ff-955e-09648eb5e958 · inbound

Interpretable enzyme function prediction via sparse autoencoder features of ESMC across the microbial protein universe cites this paper.

Interpretable enzyme function prediction via sparse autoencoder features of ESMC across the microbial protein universe Towards Interpretable Protein Structure Prediction with Sparse Autoencoders

Reference 21

Resolution
verified exact
arxiv_id, observed 2026-07-03T13:38:19.497217Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-27T07:40:44.565436Z digest=sha256:2bee8af0e8b14956c1d427d41965d9c58be1667aaa991f17adc65b2060225459

Observation 8949b90a-f609-4c25-a699-9ea7a0a4d4c1 · inbound

Design-CP: Context Parallelism for Design of Protein Nanoparticles cites this paper.

Design-CP: Context Parallelism for Design of Protein Nanoparticles Towards Interpretable Protein Structure Prediction with Sparse Autoencoders

Reference 32

Resolution
unresolved
no resolver link, observed 2026-07-12T02:29:52.764344Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-12T02:29:52.764344Z digest=sha256:6d2128e5f0da384e9733961739b57fc9fadd8069802a3564e094a64855eebb18